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Criterion
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumHighMediumLow
Timedifferent
0.5-5 Tage1-4 Wochen45-90 min1-2 h
Participantsdifferent
4-106-30 Experten2-52-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Kaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExpert Forecast, Consensus Range, Assumption NotesA3 Report, Action Plan, Root Cause AnalysisDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
LeanContinuous improvementOperations
ForecastingExpertsDecisionStrategy
LeanProblem solvingCoachingOperations
StrategyDecisionAssumptionsHypothesis
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